Data Migration Masterclass: Database, Cloud & Enterprise Dat

Name: Data Migration Masterclass: Database, Cloud & Enterprise Dat
Rating: 4.3 (7 reviews)

Learn Database Migration, Cloud Migration, Data Mapping, ETL, Data Validation, Risk Management

Hot & New

New

Created byMeta Brains, Shah Nawaz

Last updated 6/2026

English

English [Auto],

What you'll learn

Understand the complete data migration lifecycle from planning and assessment to execution, validation, and post-migration support.
Analyze source and target systems, identify migration requirements, and create effective migration strategies.
Perform data profiling, cleansing, transformation, and validation to ensure high-quality migration outcomes.
Use industry-standard tools and techniques to migrate databases, applications, and cloud-based data environments.

Course content

10 sections • 57 lectures • 8h 31m total length

What is Data Migration10:49
Types of Data Migration7:26
Explore the four main types of data migration—storage, database, application, and cloud—and learn how each moves data, systems, or workloads across storage devices, databases, apps, and cloud environments.
Importance in Modern IT Systems9:25
Common Challenges in Data Migration5:50
Develop strategies for data migration by addressing poor data quality, compatibility, and volumes, using AI-driven automation for mapping, cleansing, and legacy code translation to enable cloud readiness and minimize downtime.
Risks and Failure Scenarios4:40
Explore the key risks and failure scenarios in data migration, including data loss, data corruption, missing records or dashboards, system downtime, security breaches, and compliance impacts.

Data Profiling Techniques9:15
Identifying Data Quality Issues10:54
Data Cleansing Strategies10:32
Handling Missing and Duplicate Data7:34
Address missing and duplicate data to improve migration accuracy and data integrity across systems. Use backtracing to trace missing values to the responsible employee and avoid unreliable synthetic data.
Data Standardization and Formatting11:14
Standardisation of data formatting across multiple source systems ensures a single, consistent target format for migration, illustrated with date formats, currencies, and Excel workflows.

Introduction to Databases in Migration13:25
Working with Microsoft SQL Server10:32
Explore Microsoft SQL Server, a proprietary relational database system using SQL to securely store, manage, and analyze enterprise data, with Azure Arc pay-as-you-go licensing and editions like standard and developer.
Working with MySQL7:43
Working with Oracle Database6:18
Schema Design and Comparison7:59
Data Types and Compatibility Issues6:50
Connecting to Databases7:54

Planning Migration Execution11:30
Running Migration Jobs8:13
Monitoring Migration Progress11:01
Handling Failures and Rollbacks10:05
Learn to handle failures and perform rollbacks in data migrations, using backups, checkpoints, and detailed logs to ensure business continuity and data integrity.
Workflow Automation Tools7:39
Explore how workflow automation streamlines data migration through automated extraction, transformation, validation, loading, and monitoring using Azure Migrate and etl/elt pipelines with Flyway or Liquibase.

Importance of Testing in Migration14:37
Unit Testing Migration Scripts10:44
Master unit testing for data migration scripts in Google Colab, validating extract, transform, and load steps to prevent data loss and corruption. Emphasize regression testing and automation for reliable migrations.
Comparing Source and Target Data20:15
Compare source data and target data to validate migration accuracy and integrity. Learn field-level checks, record count, data types, relationships, and checksum validation, with practical Google Colab and pandas demonstrations.
Performance Testing9:33
User Acceptance Testing (UAT)3:37

Data Security Principles10:40
Encryption During Migration8:26
Access Control and Authentication6:07
Explore access control and authentication in data migration, using RBAC to restrict actions by role, with authentication methods from passwords to MFA to safeguard source and target systems.
Handling Sensitive Data5:49
Classify sensitive data and implement secure migration with encryption, access controls, and compliant protocols to protect confidentiality, integrity, and privacy during transfers.
Compliance Standards6:01
Audit Logging5:30
Risk Mitigation Strategies5:15

Requirements

No prior data migration experience is required. Basic computer and database knowledge is helpful but not mandatory. All concepts are explained step-by-step with practical examples.

Description

Disclaimer : This course contains the use of Artificial Intelligence
Data Migration is one of the most critical processes in modern IT environments. Whether organizations are moving data to the cloud, upgrading databases, replacing legacy systems, or consolidating applications, a successful migration strategy is essential to ensure data integrity, business continuity, security, and operational efficiency.

In this comprehensive Data Migration Masterclass, you will learn the complete end-to-end data migration lifecycle used by organizations worldwide. Starting with the fundamentals, you will explore different types of data migration including Storage Migration, Database Migration, Application Migration, and Cloud Migration.

You will learn how to assess source systems, define migration objectives, gather business requirements, perform data profiling, identify data quality issues, and prepare datasets for migration. The course also covers data cleansing, transformation, standardization, validation, and reconciliation techniques used in real-world migration projects.

Additionally, you will gain practical knowledge of migration planning, migration tools, ETL processes, risk management, testing strategies, migration execution, post-migration validation, and performance optimization.

The course includes real-world examples, industry best practices, migration frameworks, and practical demonstrations that help bridge the gap between theory and implementation.

By the end of this course, you will have the knowledge and confidence to participate in or lead data migration initiatives across enterprise environments, cloud platforms, and database systems.

Whether you are an IT professional, database administrator, cloud engineer, data analyst, project manager, or someone looking to build expertise in enterprise data management, this course provides a solid foundation for mastering data migration projects.

Who this course is for:

IT professionals, database administrators, data analysts, cloud engineers, software developers, project managers, and beginners who want to learn data migration concepts, strategies, tools, and real-world implementation techniques.

Data Migration Masterclass: Database, Cloud & Enterprise Dat

What you'll learn

Explore related topics

Course content

Introduction to Data Migration5 lectures • 38min

Business Requirements and Data Analysis6 lectures • 49min

Data Assessment and Preparation5 lectures • 49min

Database Platforms for Migration7 lectures • 1hr 1min

Designing Data Migration Solutions6 lectures • 1hr 4min

Scripting and Automation6 lectures • 1hr 1min

Migration Execution and Workflow Management5 lectures • 48min

Testing and Validation5 lectures • 59min

Security and Compliance in Data Migration7 lectures • 48min

Future Learnings and Conclusion5 lectures • 34min

Requirements

Description

Who this course is for: